Director Data Science at The Home Depot
Khalifeh AlJadda holds Ph.D. in computer science from the University of Georgia (UGA), with a specialization in machine learning. He has experience implementing large-scale, distributed machine learning algorithms to solve challenging problems in domains ranging from Bioinformatics to search and recommendation engines. He is the Director of Core Data Science at Home Depot, which is the largest home improvement company in the world. He is currently leading the core recommendation data science team, core search data science team, and visual AI team at Home Depot which leverage the state of the art data science techniques to build personalized search and recommendation capabilities.
Before joining Home Depot he was in charge of the data science initiative to design and implement the backend of CareerBuilder’s language-agnostic semantic search engine leveraging NLP, Apache Spark and the Hadoop ecosystem. He also led the team on building a new AI-based recommendation engine using cutting-edge technologies for CareerBuilder.
Khalifeh also co-founded a non-profit organization ATLytiCS (www.atlytics.org) and is a frequent public speaker on topics related to data science, machine learning, semantic search, and big data analytics.
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